@@ -3,22 +3,23 @@ title: "GPU acceleration"
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description : Learn how to use GPUs with workspaces.
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---
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- GPUs can be used for performing tasks such as machine learning within
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- workspaces .
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+ Graphical processing units (GPUs) are useful with compute-intensive workloads,
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+ such as those involved with data science/machine learning projects .
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- By default, users cannot create workspaces with GPUs until a site manager
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- configures and enables this feature.
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+ You can allocate GPUs to workspaces once a site manager configures and enables
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+ this feature. Enabling GPU acceleration requires that you've configured your
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+ Kubernetes cluster and
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+ [ scheduled GPUs] ( https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/ ) .
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+ For instructions on how to schedule GPUs with your specific cloud vendor, see:
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- ### Step 1: Configure your Kubernetes cluster
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+ - [ Amazon Elastic Container Service] ( https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-gpu.html )
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+ - [ Azure Kubernetes Service] ( https://docs.microsoft.com/en-us/azure/aks/gpu-cluster )
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+ - [ Google Kubernetes Engine] ( https://cloud.google.com/kubernetes-engine/docs/how-to/gpus )
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- <a href="https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/ "
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- target="_ blank" rel="noreferrer noopener">Configure</a > your Kubernetes cluster
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- with the available GPUs and all necessary device plugins and drivers.
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+ Once your Kubernetes cluster has been configured, you can enable GPUs in Coder.
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- ### Step 2: Enable GPU vendor in Coder
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-
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- Go to ** Manage** > ** Admin** . On the ** Infrastructure** tab, find the ** GPU
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- Vendor** setting, and change it to the GPU vendor of choice (either ** AMD** or
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- ** Nvidia** ). Click ** Save Vendor** .
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+ To do so, go to ** Manage** > ** Admin** . On the ** Infrastructure** tab, find the
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+ ** GPU Vendor** setting, and change it to the GPU vendor of choice (either
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+ ** AMD** or ** Nvidia** ). Click ** Save Vendor** .
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![ Enable GPU vendor] ( ../../assets/admin/gpu.png )
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